{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Predicting Abalone Snail Sex Using Physical Characteristics\n",
    "\n",
    "### Data was found at https://archive.ics.uci.edu/ml/datasets/Abalone , University of California, Irvine's Machine Learning repository."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import sys \n",
    "\n",
    "# Modify the path \n",
    "sys.path.append(\"..\")\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import yellowbrick as yb \n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "os.chdir(\"/Users/lisacombs/Documents/yellowbrick/\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sex</th>\n",
       "      <th>length</th>\n",
       "      <th>diameter</th>\n",
       "      <th>height</th>\n",
       "      <th>w_weight</th>\n",
       "      <th>s_weight</th>\n",
       "      <th>v_weight</th>\n",
       "      <th>sh_weight</th>\n",
       "      <th>rings</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M</td>\n",
       "      <td>0.455</td>\n",
       "      <td>0.365</td>\n",
       "      <td>0.095</td>\n",
       "      <td>0.5140</td>\n",
       "      <td>0.2245</td>\n",
       "      <td>0.1010</td>\n",
       "      <td>0.150</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M</td>\n",
       "      <td>0.350</td>\n",
       "      <td>0.265</td>\n",
       "      <td>0.090</td>\n",
       "      <td>0.2255</td>\n",
       "      <td>0.0995</td>\n",
       "      <td>0.0485</td>\n",
       "      <td>0.070</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>F</td>\n",
       "      <td>0.530</td>\n",
       "      <td>0.420</td>\n",
       "      <td>0.135</td>\n",
       "      <td>0.6770</td>\n",
       "      <td>0.2565</td>\n",
       "      <td>0.1415</td>\n",
       "      <td>0.210</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M</td>\n",
       "      <td>0.440</td>\n",
       "      <td>0.365</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.5160</td>\n",
       "      <td>0.2155</td>\n",
       "      <td>0.1140</td>\n",
       "      <td>0.155</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>I</td>\n",
       "      <td>0.330</td>\n",
       "      <td>0.255</td>\n",
       "      <td>0.080</td>\n",
       "      <td>0.2050</td>\n",
       "      <td>0.0895</td>\n",
       "      <td>0.0395</td>\n",
       "      <td>0.055</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  sex   length   diameter   height   w_weight   s_weight   v_weight  \\\n",
       "0   M    0.455      0.365    0.095     0.5140     0.2245     0.1010   \n",
       "1   M    0.350      0.265    0.090     0.2255     0.0995     0.0485   \n",
       "2   F    0.530      0.420    0.135     0.6770     0.2565     0.1415   \n",
       "3   M    0.440      0.365    0.125     0.5160     0.2155     0.1140   \n",
       "4   I    0.330      0.255    0.080     0.2050     0.0895     0.0395   \n",
       "\n",
       "    sh_weight   rings  \n",
       "0       0.150      15  \n",
       "1       0.070       7  \n",
       "2       0.210       9  \n",
       "3       0.155      10  \n",
       "4       0.055       7  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Load the data\n",
    "\n",
    "data = pd.read_csv(\"./life.csv\")\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Use only M/F, no infants and make variable numeric.\n",
    "data = data.loc[data['sex'].isin(['M','F'])]\n",
    "data['sex'] = np.where(data['sex']=='M', 0, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "//anaconda/lib/python3.5/site-packages/sklearn/cross_validation.py:44: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.\n",
      "  \"This module will be removed in 0.20.\", DeprecationWarning)\n"
     ]
    }
   ],
   "source": [
    "# Feature Analysis Imports \n",
    "# NOTE that all these are available for import from the `yellowbrick.features` module \n",
    "from yellowbrick.features.rankd import Rank2D \n",
    "from yellowbrick.features.radviz import RadViz \n",
    "from yellowbrick.features.pcoords import ParallelCoordinates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['sex',\n",
       " ' length',\n",
       " ' diameter',\n",
       " ' height',\n",
       " ' w_weight',\n",
       " ' s_weight',\n",
       " ' v_weight',\n",
       " ' sh_weight',\n",
       " ' rings']"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(data) # numeric variables to be used as features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Specify the features of interest\n",
    "\n",
    "features = [' length',\n",
    " ' diameter',\n",
    " ' height',\n",
    " ' w_weight',\n",
    " ' s_weight',\n",
    " ' v_weight',\n",
    " ' sh_weight',\n",
    " ' rings']\n",
    "\n",
    "# Extract the numpy arrays from the data frame \n",
    "X = data[features].as_matrix()\n",
    "y = data.sex.as_matrix()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAgEAAAHDCAYAAAC9LslDAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAACTIgkAAMCkSAIAADApkgAAAEzq/wPDbhJbKjIpIgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115d96b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Instantiate the visualizer with the Covariance ranking algorithm \n",
    "visualizer = Rank2D(features=features, algorithm='covariance')\n",
    "\n",
    "visualizer.fit(X, y)                # Fit the data to the visualizer\n",
    "visualizer.transform(X)             # Transform the data\n",
    "visualizer.show()    # Draw/show/show the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAgEAAAHDCAYAAAC9LslDAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1162a7c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Instantiate the visualizer with the Pearson ranking algorithm \n",
    "visualizer = Rank2D(features=features, algorithm='pearson')\n",
    "\n",
    "visualizer.fit(X, y)                # Fit the data to the visualizer\n",
    "visualizer.transform(X)             # Transform the data\n",
    "visualizer.show()    # Draw/show/show the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Specify the features of interest and the classes of the target \n",
    "features = [' length',\n",
    " ' diameter',\n",
    " ' height',\n",
    " ' w_weight',\n",
    " ' s_weight',\n",
    " ' v_weight',\n",
    " ' sh_weight',\n",
    " ' rings']\n",
    "\n",
    "classes = ['M', 'F']\n",
    "\n",
    "# Extract the numpy arrays from the data frame \n",
    "X = data[features].as_matrix()\n",
    "y = data.sex.as_matrix()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAnUAAAHDCAYAAABCjOyhAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nf1ADAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115e6fb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Instantiate the visualizer\n",
    "visualizer = visualizer = RadViz(classes=classes, features=features)\n",
    "\n",
    "visualizer.fit(X, y)      # Fit the data to the visualizer\n",
    "visualizer.transform(X)   # Transform the data\n",
    "visualizer.show()         # Draw/show/show the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAnoAAAHDCAYAAACzh7csAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nYcOGDRs2TlLYRM+GDRs2bNiwYeMkxf8HgwT6d/azSN8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1163de7f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Instantiate the visualizer\n",
    "visualizer = visualizer = ParallelCoordinates(classes=classes, features=features)\n",
    "\n",
    "visualizer.fit(X, y)      # Fit the data to the visualizer\n",
    "visualizer.transform(X)   # Transform the data\n",
    "visualizer.show()         # Draw/show/show the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Regression Evaluation Imports \n",
    "\n",
    "from sklearn.linear_model import Ridge, Lasso \n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "from yellowbrick.regressor import PredictionError, ResidualsPlot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Load the data - without classifier\n",
    "\n",
    "feature_names = [' length',\n",
    " ' diameter',\n",
    " ' height',\n",
    " ' w_weight',\n",
    " ' s_weight',\n",
    " ' v_weight',\n",
    " ' sh_weight', \n",
    " ' rings']\n",
    "\n",
    "target_name = ' sh_weight'\n",
    "\n",
    "# Get the X and y data from the DataFrame \n",
    "X = data[feature_names].as_matrix()\n",
    "y = data[target_name].as_matrix() \n",
    "\n",
    "# Create the train and test data \n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAApgAAAHWCAYAAADTi/lIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x116281d30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Instantiate the linear model and visualizer \n",
    "ridge = Ridge()\n",
    "visualizer = ResidualsPlot(ridge)\n",
    "\n",
    "visualizer.fit(X_train, y_train)  # Fit the training data to the visualizer\n",
    "visualizer.score(X_test, y_test)  # Evaluate the model on the test data \n",
    "g = visualizer.show()             # Draw/show/show the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "feature_names = [' length',\n",
    " ' diameter',\n",
    " ' height',\n",
    " ' w_weight',\n",
    " ' s_weight',\n",
    " ' v_weight',\n",
    " ' sh_weight']\n",
    "    \n",
    "target_name = ' rings'\n",
    "\n",
    "# Get the X and y data from the DataFrame \n",
    "X = data[feature_names].as_matrix()\n",
    "y = data[target_name].as_matrix() \n",
    "\n",
    "# Create the train and test data \n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "//anaconda/lib/python3.5/site-packages/scipy/linalg/basic.py:884: RuntimeWarning: internal gelsd driver lwork query error, required iwork dimension not returned. This is likely the result of LAPACK bug 0038, fixed in LAPACK 3.2.2 (released July 21, 2010). Falling back to 'gelss' driver.\n",
      "  warnings.warn(mesg, RuntimeWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAogAAAHWCAYAAAD0JXigAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a85a240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Instantiate the linear model and visualizer \n",
    "lasso = Lasso()\n",
    "visualizer = PredictionError(lasso)\n",
    "\n",
    "visualizer.fit(X_train, y_train)  # Fit the training data to the visualizer\n",
    "visualizer.score(X_test, y_test)  # Evaluate the model on the test data \n",
    "g = visualizer.show()             # Draw/show/show the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Classifier Evaluation Imports \n",
    "\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.linear_model import LogisticRegression \n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "from yellowbrick.classifier import ClassificationReport, ROCAUC, ClassBalance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Specify the features of interest and the classes of the target \n",
    "features = [' length',\n",
    " ' diameter',\n",
    " ' height',\n",
    " ' w_weight',\n",
    " ' s_weight',\n",
    " ' v_weight',\n",
    " ' sh_weight',\n",
    " ' rings']\n",
    "\n",
    "classes = ['M', 'F']\n",
    "\n",
    "# Extract the numpy arrays from the data frame \n",
    "X = data[features].as_matrix()\n",
    "y = data.sex.as_matrix()\n",
    "\n",
    "# Create the train and test data \n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlEAAAG/CAYAAAB42oKxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10396d860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Instantiate the classification model and visualizer \n",
    "bayes = GaussianNB()\n",
    "visualizer = ClassificationReport(bayes, classes=classes)\n",
    "\n",
    "visualizer.fit(X_train, y_train)  # Fit the training data to the visualizer\n",
    "visualizer.score(X_test, y_test)  # Evaluate the model on the test data \n",
    "g = visualizer.show()             # Draw/show/show the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Specify the features of interest and the classes of the target \n",
    "features = [' length',\n",
    " ' diameter',\n",
    " ' height',\n",
    " ' w_weight',\n",
    " ' s_weight',\n",
    " ' v_weight',\n",
    " ' sh_weight',\n",
    " ' rings']\n",
    "\n",
    "classes = ['M', 'F']\n",
    "\n",
    "# Extract the numpy arrays from the data frame \n",
    "X = data[features].as_matrix()\n",
    "y = data.sex.as_matrix()\n",
    "\n",
    "# Create the train and test data \n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAnYAAAHDCAYAAACpu1eiAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a8a8208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "logistic = LogisticRegression()\n",
    "visualizer = ROCAUC(logistic)\n",
    "\n",
    "visualizer.fit(X_train, y_train)  # Fit the training data to the visualizer\n",
    "visualizer.score(X_test, y_test)  # Evaluate the model on the test data \n",
    "g = visualizer.show()             # Draw/show/show the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Specify the features of interest and the classes of the target \n",
    "features = [' length',\n",
    " ' diameter',\n",
    " ' height',\n",
    " ' w_weight',\n",
    " ' s_weight',\n",
    " ' v_weight',\n",
    " ' sh_weight',\n",
    " ' rings']\n",
    "\n",
    "classes = ['M', 'F']\n",
    "\n",
    "# Extract the numpy arrays from the data frame \n",
    "X = data[features].as_matrix()\n",
    "y = data.sex.as_matrix()\n",
    "\n",
    "# Create the train and test data \n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAnEAAAHDCAYAAABLZ0zbAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x116127908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Instantiate the classification model and visualizer \n",
    "forest = RandomForestClassifier()\n",
    "visualizer = ClassBalance(forest, classes=classes)\n",
    "\n",
    "visualizer.fit(X_train, y_train)  # Fit the training data to the visualizer\n",
    "visualizer.score(X_test, y_test)  # Evaluate the model on the test data \n",
    "g = visualizer.show()             # Draw/show/show the data"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
